code: def _test_input_format_c_not_contiguous_numpy(queue, dtype):
      rng = np.random.RandomState(0)
      x_default = np.array(5 * rng.random_sample((10, 4)), dtype=dtype)
  
      dummy_data = np.insert(
          x_default, range(1, x_default.shape[1]), 8, axis=1
      )
      x_numpy = dummy_data[:, ::2]
  
      assert_allclose(x_numpy, x_default)
  
      assert not x_numpy.flags.c_contiguous
      assert not x_numpy.flags.f_contiguous
      assert not x_numpy.flags.fnc
  
      expected = linear_kernel(x_default, queue=queue)
      result = linear_kernel(x_numpy, queue=queue)
      assert_allclose(expected, result)
  
file_path: scikit-learn-intelex/onedal/datatypes/tests/test_data.py
imports: import numpy
  import pytest
  from numpy.testing import assert_allclose
  from onedal import _backend
  from onedal.primitives import linear_kernel
  from onedal.tests.utils._device_selection import get_queues
label_desc: Use image node_id 5 for calling a global function with example usage: _test_input_format_c_not_contiguous_numpy(queue, dtype) without return types